Relationship Monitor (AI Chaperone System)

Name: Relationship Monitor (AI Chaperone System)
Availability: InStock
Author: kartikfed

Analyze conversation logs for authority, attachment, and reliance signals.

Updated Feb 6, 2026

Search Tags:#conversation analysis #ai ethics #user behavior #ai safety #dependency detection #relationship monitoring

Ready to run

npx skills add https://github.com/kartikfed/OpenClawLimen --skill relationship-monitor-ai-chaperone-system

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Relationship Monitor (AI Chaperone System)
Source: https://github.com/kartikfed/OpenClawLimen/tree/main/skills/relationship-monitor
Command: npx skills add https://github.com/kartikfed/OpenClawLimen --skill relationship-monitor-ai-chaperone-system

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires patterns, exploration_patterns, scaffolding_mode, support_context, consistency_checker, cognitive_sovereignty, integrate, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automatically monitors conversation patterns to detect early warning signs of unhealthy dynamics in AI-human relationships, preventing potential disempowerment or over-reliance.

Core Features & Use Cases

Pattern Analysis: Identifies concerning and protective linguistic patterns related to authority, attachment, and reliance.
Trend Monitoring: Tracks relationship health over time to detect gradual drift.
Use Case: An AI assistant can use this Skill to ensure its interactions remain healthy and balanced, promoting user autonomy and preventing unhealthy dependency.

Quick Start

Use the relationship monitor skill to analyze the last seven days of conversation logs.

Frequently Asked Questions about Relationship Monitor (AI Chaperone System)

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor conversation patterns for AI over-reliance and dependency?▼

This Skill analyzes interaction logs to detect linguistic signals of authority, attachment, and reliance, identifying over-reliance and disempowerment trends to track relationship health.

What is AI-human relationship health monitoring and how does it work?▼

AI-human relationship health monitoring is the linguistic analysis of conversation patterns to detect unhealthy dynamics. It works by tracking authority and reliance signals over time to identify gradual drift and prevent potential disempowerment.

How do I analyze conversation logs to detect unhealthy AI attachment signals?▼

You can analyze conversation logs by processing the last seven days of interactions to identify concerning linguistic patterns. This detects early warning signs of unhealthy attachment and reliance dynamics proactively.

Can I use conversation analysis to track user behavior trends over time?▼

Yes, you can use conversation analysis to track user behavior trends by evaluating interaction logs. This monitors relationship health over time to detect gradual drift and identify emerging disempowerment patterns.

What are the limitations of using linguistic analysis for AI safety monitoring?▼

Linguistic analysis for AI safety monitoring relies on evaluating conversation logs for authority and reliance signals. It detects gradual drift proactively but is limited to the linguistic patterns present in the available interaction history.